Application of Relevance Logic in Artificial Intelligence and Knowledge Representation

Document Type : Academic research papers

Authors

1 Assistant lecturer, Department of Philosophy, Faculty Of Women For Arts, Science & Education, Ain Shams University, Cairo, Egypt

2 Professor of Logic and Philosophy of Science, Faculty Of Women For Arts, Science & Education Ain Shams University

3 Professor of Philosophy of Science, Faculty Of Women For Arts, Science & Education, Ain Shams University

4 Assistant Professor of Logic, Faculty Of Women For Arts, Science & Education, Ain Shams University

Abstract

Abstract:
Practical application is one of the most important factors for the success of the scientific theory and the completion of its pillars. Since the theoretical construction alone is not sufficient to complete its pillars in a consistent manner, and serving practical purposes is a primary goal for which Relevance Logic was developed, and from here researchers focused their efforts in establishing a theory describing its tools, techniques, and purposes, and analyzing its structure and applications, as Anderson presented the Relevance model in Artificial intelligence, a model that can be applied as an expert system for artificial intelligence applications and knowledge representation. The importance of this research refers to tracking the developments in the types of logic, the effects of these logical developments, and new techniques of inference on other sciences that have emerged in the era of contemporary technologies. The most important of them is the science of artificial intelligence, in light of the Relevance Logic model presented by Anderson.

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Buhūth
Volume 2, Issue 1 - Serial Number 1
Social Sciences & Humanities
January 2022
Pages 140-170

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